Triple

T21936560
Position Surface form Disambiguated ID Type / Status
Subject Treaty of Wanghia E541702 entity
Predicate signatoryRepresentative P4489 FINISHED
Object Qiying NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Qiying | Statement: [Treaty of Wanghia, signatoryRepresentative, Qiying]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qiying
Context triple: [Treaty of Wanghia, signatoryRepresentative, Qiying]
  • A. Qiying chosen
    Qiying was a Qing dynasty statesman and diplomat who played a key role in negotiating several unequal treaties with Western powers in the mid-19th century.
  • B. Jingyu
    Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
  • C. Qiong Yao
    Qiong Yao is a highly influential Taiwanese romance novelist, screenwriter, and producer known for her popular love stories adapted into numerous hit television dramas and films across the Chinese-speaking world.
  • D. Xingqing
    Xingqing was the principal city and political center of the Tangut-led Western Xia dynasty in northwestern China.
  • E. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1241c909c81908644eb73baa9def1 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:54 p.m.